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A penalty interior point algorithm for a parameter identification problem in elastoplasticity

机译:弹塑性参数辨识问题的罚内点算法

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This paper deals with a special class of parameter identification problems in structural plasticity. Specifically, we address the problem of identifying yield limits and hardening moduli from knowledge of the displacement response of the structure under a given set of proportional loads. Under the assumptions of piecewise linear holonomic (reversible) plasticity and a suitably discretized structure, the inverse problem can be formulated as a special optimization problem known as a Mathematical Program with Equilibrium Constraints (MPEC), a key feature of which is the presence of complementarity conditions, involving the orthogonality of two sign-constrained vectors. A recently developed numerical scheme, the Penalty Interior Point Algorithm (PIPA), is proposed for solving the identification problem. Some computational results for a hypothetical beam on elastoplastic springs are also given.
机译:本文研究了一类特殊的结构塑性参数识别问题。具体来说,我们从已知结构在给定的一组比例载荷下的位移响应的知识来解决确定屈服极限和硬化模量的问题。在分段线性完整(可逆)可塑性和适当离散结构的假设下,反问题可以公式化为特殊的优化问题,称为具有均衡约束的数学程序(MPEC),其主要特征是存在互补性条件,涉及两个受符号约束的向量的正交性。为了解决识别问题,提出了一种最新开发的数值方案,即罚分内点算法(PIPA)。还给出了在弹塑性弹簧上假设梁的一些计算结果。

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